slot_attention | Centric Learning with Slot Attention

by untitled-ai Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | slot_attention Summary

slot_attention is a Python library. slot_attention has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However slot_attention build file is not available. You can download it from GitHub.

This is a re-implementation of "Object-Centric Learning with Slot Attention" in PyTorch (

Support

Quality

Security

License

Reuse

Support

slot_attention has a low active ecosystem.

It has 29 star(s) with 4 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 2 have been closed. On average issues are closed in 9 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of slot_attention is current.

Quality

slot_attention has 0 bugs and 0 code smells.

Security

slot_attention has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

slot_attention code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

slot_attention is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

slot_attention releases are not available. You will need to build from source code and install.

slot_attention has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

It has 517 lines of code, 34 functions and 9 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed slot_attention and discovered the below as its top functions. This is intended to give you an instant insight into slot_attention implemented functionality, and help decide if they suit your requirements.

Save images
Sample images
Return a data loader
Compute the forward computation
Convert x to RGB
Forward computation
Raises an AssertionError if they are equal
Configures optimizers
Return a DataLoader instance for training data
Return a list of all files in the scene
Returns a compact version of l
Calculate loss function
Compute loss function
Perform forward computation
Returns the loss function

Get all kandi verified functions for this library.

slot_attention Key Features

No Key Features are available at this moment for slot_attention.

slot_attention Examples and Code Snippets

No Code Snippets are available at this moment for slot_attention.

Community Discussions

Trending Discussions on slot_attention

How to broadcast along batch dimension with Tensorflow functional API?

QUESTION

How to broadcast along batch dimension with Tensorflow functional API?

Asked 2020-Aug-22 at 15:48

In some applications, like slot attention (implemented in Pytorch here), it is necessary to broadcast along the batch dimension. However, I cannot see how to do this with the functional API. For example,

...

ANSWER

Answered 2020-Aug-22 at 15:48

Finally found an answer to this by using tf.keras.backend.shape:

Source https://stackoverflow.com/questions/63211206

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install slot_attention

Run run.sh to get started. This script will install the dependencies, download the CLEVR dataset and run the model.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: